Additive requirement ratio estimation using trend distribution features-Reference-Cited by-同舟云学术

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Additive requirement ratio estimation using trend distribution features

Published:2021 Issue: Volume: Page:63-82
ISSN:
Container-title:Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process
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Author:

Yang Chunhua,Sun Bei

Publisher

Elsevier

Reference15 articles.

1. Cementation of copper from spent copper-pickle sulfate solution by zinc ash;Ahmed;Hydrometallurgy,2011

2. A kinetic study of copper cementation with zinc in aqueous solutions;Demirkıran;International Journal of Mineral Processing,2007

3. Process diagnosis based on qualitative trend similarities using a sequence matching algorithm;Gamero;Journal of Process Control,2014

4. Additive requirement ratio prediction using trend distribution features for hydrometallurgical purification processes;Zhang;Control Engineering Practice,2016

5. Copper removal by chelating adsorption in solution purification of hydrometallurgical zinc production;Laatikainen;Hydrometallurgy,2010

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1. Analysis of Abnormal User Behavior on the Internet Based on Time Series Feature Fusion;Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery;2023

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